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» Depth recovery using defocus blur at infinity
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PAMI
2008
243views more  PAMI 2008»
13 years 5 months ago
Shape from Defocus via Diffusion
Defocus can be modeled as a diffusion process and represented mathematically using the heat equation, where image blur corresponds to the diffusion of heat. This analogy can be ext...
Paolo Favaro, Stefano Soatto, Martin Burger, Stanl...
ICCV
2009
IEEE
1735views Computer Vision» more  ICCV 2009»
14 years 10 months ago
Coded Aperture Pairs for Depth From Defocus
The classical approach to depth from defocus uses two images taken with circular apertures of different sizes. We show in this paper that the use of a circular aperture severely...
Changyin Zhou, Stephen Lin, Shree Nayar
ICIP
2009
IEEE
13 years 3 months ago
Single image defocus map estimation using local contrast prior
Image defocus estimation is useful for several applications including deblurring, blur magnification, measuring image quality, and depth of field segmentation. In this paper, we p...
Yu-Wing Tai, Michael S. Brown
CVPR
2009
IEEE
14 years 11 months ago
(De) Focusing on Global Light Transport for Active Scene Recovery
Most active scene recovery techniques assume that a scene point is illuminated only directly by the illumination source. Consequently, global illumination effects due to inter-refl...
Li Zhang, Mohit Gupta, Srinivasa G. Narasimhan, Yu...
ICVGIP
2004
13 years 6 months ago
Use of Linear Diffusion in Depth Estimation Based on Defocus Cue
Diffusion has been used extensively in computer vision. Most common applications of diffusion have been in low level vision problems like segmentation and edge detection. In this ...
Vinay P. Namboodiri, Subhasis Chaudhuri